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Fuzzy confirmation measures
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DOI：10.1016/j.fss.2007.07.018.png)
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Abstract
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This paper proposes a number of measures for assessing the quality of fuzzy association rules. The focus is on a particular class of measures which are fuzzy counterparts of probabilistic confirmation measures. The distinguishing feature of such measures is that they are based on probabilistic (in)dependence and so a corresponding definition of fuzzy (in)dependence is proposed. This forms the basis for the definition of a fuzzy confirmation measure and for proposing a number of such measures based on a well-known fuzzy confidence measure. Various properties are considered to narrow the field of viable fuzzy confirmation measures, with one particular measure being found to have a number of advantages. (c) 2007 Elsevier B.V. All rights reserved.
Keywords:
fuzzy association rule
fuzzy independence
confirmation measure
probability
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